- Build and improve LLM- and transformer-based pipelines to extract structured data from clinical notes using named entity recognition, text classification, and relation extraction.
- Evaluate models using gold-standard datasets, error analysis, and metrics trusted by clinicians and researchers.
- Fine-tune, deploy, and monitor models in production.
- Work with Medical and Product teams to translate clinical questions into concrete data and model requirements.
- Present results and trade-offs to technical and non-technical audiences.
PythonSQLLLM